:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Choi, Junsouk, Chung, Hee Cheol, Gaynanova, Irina, Ni, Yang
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2403.15983
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Truncated Gaussian copula principal component analysis with application to pediatric acute lymphoblastic leukemia patients' gut microbiome
by: Wang, Lei, et al.
Published: (2025)

A Sparse Linear Model for Positive Definite Estimation of Covariance Matrices
by: Kim, Rakheon, et al.
Published: (2025)

Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions
by: Park, Junyoung, et al.
Published: (2025)

fastfrechet: An R package for fast implementation of Fréchet regression with distributional responses
by: Coulter, Alexander, et al.
Published: (2025)

Fréchet regression of multivariate distributions with nonparanormal transport
by: Park, Junyoung, et al.
Published: (2026)

Smooth tensor decomposition with application to ambulatory blood pressure monitoring data
by: Qian, Leyuan, et al.
Published: (2025)

A spectral method for multi-view subspace learning using the product of projections
by: Sergazinov, Renat, et al.
Published: (2024)

Factor copula models for non-Gaussian longitudinal data
by: Chattopadhyay, Subhajit
Published: (2024)

Learning Joint and Individual Structure in Network Data with Covariates
by: James, Carson, et al.
Published: (2024)

On factor copula-based mixed regression models
by: Krupskii, Pavel, et al.
Published: (2023)

Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
by: Adeoye, Matthew, et al.
Published: (2026)

A Comparison of Zero-Inflated Models for Modern Biomedical Data
by: Beveridge, Max, et al.
Published: (2024)

Bayesian nonparametric mixtures of Archimedean copulas
by: Pan, Ruyi, et al.
Published: (2024)

Fast distance computation of multivariate distributions via nonparanormal transport
by: Shao, Edward, et al.
Published: (2026)

Gaussian copula correlation network analysis with application to multi-omics data
by: Tomilina, Ekaterina, et al.
Published: (2025)

Learning Bayesian networks: a copula approach for mixed-type data
by: Castelletti, Federico
Published: (2023)

Factor tree copula models for item response data
by: Kadhem, Sayed H., et al.
Published: (2022)

Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
by: André, Lídia M., et al.
Published: (2025)

A dynamic copula model for probabilistic forecasting of non-Gaussian multivariate time series
by: Zito, John, et al.
Published: (2025)

Skew-elliptical copula based mixed models for non-Gaussian longitudinal data with application to an HIV-AIDS study
by: Chattopadhyay, Subhajit
Published: (2024)

Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
by: Liu, Yusha, et al.
Published: (2022)

Frank copula is minimum information copula under fixed Kendall's $τ$
by: Sukeda, Issey, et al.
Published: (2024)

Simplified vine copula models: state of science and affairs
by: Nagler, Thomas
Published: (2024)

A time-varying bivariate copula joint model for longitudinal and time-to-event data
by: Zhang, Zili, et al.
Published: (2022)

Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)

Bayesian copula-based spatial random effects models for inference with complex spatial data
by: Pearse, Alan, et al.
Published: (2025)

Bayesian analysis of nonlinear structured latent factor models using a Gaussian Process Prior
by: Zhang, Yimang, et al.
Published: (2025)

Parametric estimation of conditional Archimedean copula generators for censored data
by: Michaelides, Marie, et al.
Published: (2024)

Semi-supervised learning using copula-based regression and model averaging
by: Gao, Ziwen, et al.
Published: (2024)

Your copula is a classifier in disguise: classification-based copula density estimation
by: Huk, David, et al.
Published: (2024)

Generalised logistic regression with vine copulas
by: Haff, Ingrid Hobæk, et al.
Published: (2024)

Relative local dependence of bivariate copulas
by: Sukeda, Issey, et al.
Published: (2024)

Change-point estimation for Weibull time series with copula-based Markov models
by: Sun, Li-Hsien, et al.
Published: (2026)

Sparsity meets correlation in Gaussian sequence model
by: Kotekal, Subhodh, et al.
Published: (2023)

Bayesian factor zero-inflated Poisson model for multiple grouped count data
by: Kobayashi, Genya, et al.
Published: (2024)

A Bayesian factor analysis model for high-dimensional microbiome count data
by: Ba, Ismaïla, et al.
Published: (2024)

Non-monotone dependence modeling with copulas: an application to the volume-return relationship
by: Marchione, Manfred Marvin, et al.
Published: (2024)

MR-CCC: Bayesian Mendelian Randomization for Causal Cell--Cell Communication
by: Sarkar, Bitan, et al.
Published: (2026)

Bayesian nonparametric copulas with tail dependence
by: Ausín, Maria Concepción, et al.
Published: (2025)